[Spring 2027] Finance Internship

Whitney Museum of American Art•New York, NY

10d•$3,000 - $3,000•Onsite

About The Position

The Whitney seeks a Financial Planning and Analysis Intern to support the Finance team with budget templating, process automation, project-based reporting and analytics for the Spring 2027 semester. The Whitney’s Academic Year Internship program offers a semester-long paid internship for rising Juniors and above (to include Graduate students) enrolled in an accredited academic program. The internship is in person and onsite. For spring 2027, interns commit between 16–21 hours per week over 10–12 weeks for a total of 176 hours. The official program dates will span from January 18-April 26, 2027. Interns are assigned to a specific department at the Museum for the duration of the internship.

Requirements

Rising senior (undergraduate) or graduate student, currently enrolled in an accredited degree program.
Coursework or academic background in finance, accounting, economics or a related field preferred.
Strong proficiency in Excel PowerPoint; experience in BI, automation, or AI tools is preferred but not required.
Detail-oriented, organized and comfortable working with large datasets.
Strong written and verbal communication skills.
Ability to work independently on assign tasks while communicating proactively with your supervisor.

Nice To Haves

experience in BI, automation, or AI tools is preferred but not required.

Responsibilities

Refine standardized, activity-based budget templates that departments across the Museum rely on for planning.
Help identify and build automation for recurring budget and forecasting tasks, cutting down manual work for the team.
Track actuals against budget, flag variances, and identify the drivers.
Assist in preparing summary materials, and dashboards for internal meetings and leadership reviews.
Partner with the Advancement team on fundraising data; clean and maintain fundraising trackers and help support fundraising analytics.
Support cash flow reporting by cleaning data and standardizing reporting pools used across the Museum’s Finance function.